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Revealing the hidden carbon in forested wetland soils

Nature communications, 2024-01, Vol.15 (1), p.726-13, Article 726

2024

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Harnessing the Temporal Dimension to Improve Object-Based Image Analysis Classification of Wetlands

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1467

2018

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Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar

Environmental research letters, 2017-05, Vol.12 (6), p.65004

2017

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Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (10), p.1863

2021

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A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

Remote sensing of environment, 2021-08, Vol.261, p.112471, Article 112471

2021

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An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps

Remote sensing of environment, 2023-09, Vol.295, p.113678, Article 113678

2023

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Structural characteristics of black spruce (Picea mariana) infested with eastern spruce dwarf mistletoe (Arceuthobium pusillum), Minnesota, USA

Forest ecology and management, 2022-11, Vol.523, p.120495, Article 120495

2022

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A Phase II Open-Label Study of Bermekimab in Patients with Hidradenitis Suppurativa Shows Resolution of Inflammatory Lesions and Pain

Journal of investigative dermatology, 2020-08, Vol.140 (8), p.1538-1545.e2

2020

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Wildfires correlate with reductions in aboveground tree carbon stocks and sequestration capacity on forest land in the Western United States

The Science of the total environment, 2023-10, Vol.893, p.164832-164832, Article 164832

2023

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Using machine learning to improve predictions and provide insight into fluvial sediment transport

Hydrological processes, 2022-08, Vol.36 (8), p.n/a

2022

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Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska

Journal of agricultural, biological, and environmental statistics, 2024-12, Vol.29 (4), p.695-722

2024

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Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach

Environmetrics (London, Ont.), 2024-06, Vol.35 (4), p.n/a

2024

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Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data

Remote sensing of environment, 2016-09, Vol.182, p.1-12

2016

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LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

Remote sensing of environment, 2015-11, Vol.169, p.113-127

2015

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Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations

Remote sensing of environment, 2018-06, Vol.212, p.212-230

2018

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SPATIAL FACTOR MODELS FOR HIGH-DIMENSIONAL AND LARGE SPATIAL DATA: AN APPLICATION IN FOREST VARIABLE MAPPING

Statistica Sinica, 2019, Vol.29 (3), p.1155-1180

2019

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Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data

Remote sensing of environment, 2018-01, Vol.204, p.741-755

2018

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Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Remote sensing of environment, 2017-03, Vol.190, p.149-161

2017

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Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Environmental research letters, 2024-10

2024

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Estimating Aboveground Biomass in Interior Alaska: Statistical Methods for Coupling Remotely Sensed Data with Field Observations to Improve Precision

Babcock, Chad

2017

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Are beta-2-agonists or anticholinergics more effective for treating COPD?

The Journal of family practice, 2004-06, Vol.53 (6), p.494

2004

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Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2013-02, Vol.6 (1), p.6-14

2013

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Dynamic spatial regression models for space-varying forest stand tables

Environmetrics (London, Ont.), 2014-12, Vol.25 (8), p.596-609

2014

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Bayesian hierarchical spatial models to improve forest variable prediction and mapping with Light Detection and Ranging data sets

Babcock, Chad

2014

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Late-Pleistocene paleowinds and aeolian sand mobilization in north-central Lower Michigan

Aeolian research, 2015-03, Vol.16, p.109-116

2015

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Revealing the hidden carbon in forested wetland soils

Harnessing the Temporal Dimension to Improve Object-Based Image Analysis Classification of Wetlands

Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar

Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data

A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps

Structural characteristics of black spruce (Picea mariana) infested with eastern spruce dwarf mistletoe (Arceuthobium pusillum), Minnesota, USA

A Phase II Open-Label Study of Bermekimab in Patients with Hidradenitis Suppurativa Shows Resolution of Inflammatory Lesions and Pain

Wildfires correlate with reductions in aboveground tree carbon stocks and sequestration capacity on forest land in the Western United States

Using machine learning to improve predictions and provide insight into fluvial sediment transport

Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska

Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach

Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data

LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations

SPATIAL FACTOR MODELS FOR HIGH-DIMENSIONAL AND LARGE SPATIAL DATA: AN APPLICATION IN FOREST VARIABLE MAPPING

Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Estimating Aboveground Biomass in Interior Alaska: Statistical Methods for Coupling Remotely Sensed Data with Field Observations to Improve Precision

Are beta-2-agonists or anticholinergics more effective for treating COPD?

Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data

Dynamic spatial regression models for space-varying forest stand tables

Bayesian hierarchical spatial models to improve forest variable prediction and mapping with Light Detection and Ranging data sets

Late-Pleistocene paleowinds and aeolian sand mobilization in north-central Lower Michigan

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